TITLE:
Hydraulic Reliability Assessment and Optimal Rehabilitation/Upgrading Schedule for Water Distribution Systems
AUTHORS:
Wei Peng, Rene V. Mayorga
KEYWORDS:
Optimization, Stochastic, Water Distribution, Rehabilitation, Upgrade, Hydraulic Re-liability
JOURNAL NAME:
Applied Mathematics,
Vol.7 No.18,
December
19,
2016
ABSTRACT: This paper develops an innovative approach
to optimize a long-term rehabilitation and upgrading schedule (RUS) for a water
distribution system with considering both hydraulic failure and mechanical
performance failure circumstances. The proposed approach assesses hydraulic
reliability dynamically and then optimizes the long-term RUS in sequence for a
water distribution system. The uncertain hydraulic parameters are treated as
random numbers in a stochastic hydraulic reliability assessment. The
methodologies used for optimization in a stochastic environment are: Monte
Carlo Simulation, EPANET Simulation, Genetic Algorithms, Shamir and Howard’s
Exponential Model, Threshold Break Rate Model and Two-Stage Optimization Model.
The proposed approach is conducted on a simulation model of water distribution
network in a computer by two universal codes, namely the hydraulic reliability
code and the optimal RUS code. The applicability of this approach is verified
in an example of a benchmark water distribution network.